The aim of the Dublin City University’s participation in the CLEF 2005 ImageCLEF St Andrew’s Collection task was to explore an alternative approach to exploiting text annotation and content-based retrieval in a novel combined way for pseudo relevance feedback (PRF). This method combines evidence from retrieved lists generated using textbased and content-based retrieval to determine which docume...

In a story telling authoring task, an author often wants to set up meaningful connections between different media, such as between a text and photographs. To facilitate this task, it is helpful to have a software agent dynamically adapt the presentation of a media database to the user's authoring activities, and look for opportunities for annotation and retrieval. Expecting the user to manually...

Text normalization transforms words into a base form so that terms from common equivalent classes match. Traditionally, information retrieval systems employ stemming techniques to remove derivational affixes. Depluralization, the transformation of plurals into singular forms, is also used as a low-level text normalization technique to preserve more precise lexical semantics of text. Experiment ...

The task of text data retrieval has traditionally been defined as to rank a collection of text documents in response to a query. While this definition has enabled most research progress so far, it does not model accurately the actual retrieval task in a real search engine application, where users tend to be engaged in an interactive process with multipe queries, and optimizing the overall perfo...

The Smart information retrieval project emphasizes completely automatic approaches to the understanding and retrieval of large quantities of text. We continue our work in TREC 4, performing runs in the routing, ad-hoc, confused text, interactive, and foreign language environments.